skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: In-Situ Machine Learning for Intelligent Data Capture in HPC Simulations.

Abstract

Abstract not provided.

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Sandia National Laboratories, Livermore, CA
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
OSTI Identifier:
1524824
Report Number(s):
SAND2018-5773C
663622
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the CIS External Advisory Board Meeting held June 19, 2018 in Albuquerque, NM, U.S.A..
Country of Publication:
United States
Language:
English

Citation Formats

Davis, Warren Leon,, Dunlavy, Daniel, Kegelmeyer, W. Philip, Kolla, Hemanth, Konduri, Aditya, Shead, Timothy, and Reed, Kevin. In-Situ Machine Learning for Intelligent Data Capture in HPC Simulations.. United States: N. p., 2018. Web.
Davis, Warren Leon,, Dunlavy, Daniel, Kegelmeyer, W. Philip, Kolla, Hemanth, Konduri, Aditya, Shead, Timothy, & Reed, Kevin. In-Situ Machine Learning for Intelligent Data Capture in HPC Simulations.. United States.
Davis, Warren Leon,, Dunlavy, Daniel, Kegelmeyer, W. Philip, Kolla, Hemanth, Konduri, Aditya, Shead, Timothy, and Reed, Kevin. Tue . "In-Situ Machine Learning for Intelligent Data Capture in HPC Simulations.". United States. https://www.osti.gov/servlets/purl/1524824.
@article{osti_1524824,
title = {In-Situ Machine Learning for Intelligent Data Capture in HPC Simulations.},
author = {Davis, Warren Leon, and Dunlavy, Daniel and Kegelmeyer, W. Philip and Kolla, Hemanth and Konduri, Aditya and Shead, Timothy and Reed, Kevin},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {5}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share: